Hybrid Brand Data Analyst chez Levi Strauss & Co.

JOB DESCRIPTION

Job Purpose

• Expert and go to person for Data management ( Dataiku, Assortify,  PLM, SAP, Bcom, YXX)
• Supporting the data coordinators in their roll. Improving systems and data management
• Reducing data errors and get system readiness to 100%, to ensure key deliverables

Critical Results

• Own and Set up a network of cross functional partners to achieve primary purpose related to data and system readiness.
• Own creation of tools to implement weekly checks to reduce down system and data errors.
• Responsible for all Merch topic related set up in Assortify, YourXX and Bcom. Implementing improvements and simplification for Merch and assorting.
• Support merch ops data related system improvement initiatives
• Partner with IT / Customer Service to ensure product activation completion through systematic checks
• Partner with sizing team to ensure accurate PO’s created by minimizing size discrepancies between systems
• Defining and executing data collection strategies to gather relevant information
• Developing and maintaining data pipelines and infrastructure
• Keeping up-to-date with the latest developments in data science and machine learning

Roles and responsibilities

• Data management: Ensuring the availability, quality, and security of data used by the merchandising team and cross functional partners
• Data analysis: Investigating and interpreting data to identify actionable insights and opportunities for improvement
• Collaboration: Working with cross-functional teams to implement data-driven solutions and drive business growth
• Communication: Presenting findings and recommendations to stakeholders in a clear and concise manner

Job Requirements

Minimum Education Required:

• Bachelor in business analytics or data science, or related field preferred.

Years and Type of Experience Required:

• Minimum 1-2 years of experience in Data management
• Knowledge of merchandising and Operations functions
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Dataiku)
• Hands-on experience with data science tools
• Data management experience

Functional Competencies:

• Advanced in Microsoft Office ( Word, Excel/ Powerpoint)
• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. 
• A fast-paced, multi-tasker with cross-functional project management capabilities
• A high energy individual who is passionate about the brand  
• Excellent communication skills (oral and written)
• Strong collaborative and negotiation skills

LOCATION

FULL TIME/PART TIME

Current LS&Co Employees, apply via your Workday account.